Senior Data Quality Engineer @ McAfee

Role Overview:
As a senior data quality engineer of Big Data on Cloud reporting into Data Governance Manager of Business Intelligence, the focus of this position is to understand the business, product, data and ensure quality of the data elements being used for further analysis. You will work on data quality analysis, analyse data pipelines, understand the correlations, bring about automation in detecting anomalies, usage. You will work with the data governance manager to roll out framework on governance. You will work with global teams, engage with product, engineering and leadership teams to guide value out of data from cloud data store. You will build data quality metrics and automate them to be presented to leadership. You will work with the teams to roll out the guidelines.

About the Role:

• You will understand the product, business and data processes.
• You will perform data quality analysis, build quality metrics around data pipelines and data in the cloud, present them visually help bring value to the data analysis.
• You will roll out the guidelines of the governance framework, automate data quality validation rules and bring out anomalies.
• You will report to the Engineering Manager.
• You will work with global teams from data analytics, analysts, engineering and leadership to ensure metadata management and data governance.

About You:

• You have experience working on important and main data quality automation tasks
• You are well versed with Python/SQL.
• You have experience working on data pipelines in a cloud environment Azure. You are passionate about working with data, have some statistical or data analysis background.
• You present the insights and experience from data quality automation projects or compliance projects
• You are ready to work with global teams
• 5+ years of experience in data quality analysis or data warehouse or data cloud environment.